Bashe attack : global infection by contagious malware : CyRiM report 2019

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cam a22000004b 4500</leader>
    <controlfield tag="001">MAP20190003070</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20190131111743.0</controlfield>
    <controlfield tag="008">190130s2019    gbr||||       ||| ||eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">86</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Bashe attack</subfield>
      <subfield code="b">: global infection by contagious malware : CyRiM report 2019</subfield>
      <subfield code="c">Cyber Risk Management</subfield>
    </datafield>
    <datafield tag="260" ind1=" " ind2=" ">
      <subfield code="a">Cambridge</subfield>
      <subfield code="b">Cambridge Centre for Risk Studies</subfield>
      <subfield code="c">2019</subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">79 p.</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">The report shows that the reliance of the global economy on connectivity significantly increases the scope of the damage caused by malware and, for the first time, quantifies the impacts of a global, systemic, ransomware attack.
Many sectors would be affected across the world with the largest losses in retail, healthcare, manufacturing, and banking. The impacts spread throughout the supply chain caused by the encryption of digital devices with contingent business interruption identified as particularly damaging. For example, indirect losses in the banking and finance sectors would roughly match the direct economic impact of the malware for that sector</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20140022700</subfield>
      <subfield code="a">Ciberseguridad</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20140023066</subfield>
      <subfield code="a">Ciberataques</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20160007633</subfield>
      <subfield code="a">Ciberriesgos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080586294</subfield>
      <subfield code="a">Mercado de seguros</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080548575</subfield>
      <subfield code="a">Pérdidas</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080593315</subfield>
      <subfield code="a">Sectores económicos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080586546</subfield>
      <subfield code="a">Nuevas tecnologías</subfield>
    </datafield>
    <datafield tag="651" ind1=" " ind2="1">
      <subfield code="0">MAPA20080638290</subfield>
      <subfield code="a">Reino Unido</subfield>
    </datafield>
    <datafield tag="710" ind1="2" ind2=" ">
      <subfield code="0">MAPA20160013139</subfield>
      <subfield code="a">Cambridge Centre for Risk Studies</subfield>
    </datafield>
  </record>
</collection>